Finding the most suitable PV technology for a ZigZag-structured PV facade in NW-Europe

Autor: Valckenborg, R.M.E., Sasidharan, S., Tzikas, C., Santbergen, R., Van De Wall, W., Folkerts, W.
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Poster gepresenteerd EU PVSEC Conferentie 24-28 September, Brussels, Belgium
International Conference EU PVSEC for Photovoltaic Research, 24-28 September 2018, Brussels, Belgium, 1-7
Popis: 35th European Photovoltaic Solar Energy Conference and Exhibition; 1821-1827
Choosing the most suitable PV technology for a ZigZag-structured façade cannot be based on one aspect, but involves four important aspects. First, a maximal energy density (Wp/m2 panel) of the PV-panel itself is preferred. Secondly, the amount of irradiance from the reflective panels onto the PV-panels should be maximized. However that could lead to a non-uniform irradiance distribution because of self-shading. The development of a custom made irradiance model has turned out to be crucial to predict full year irradiance and energy yield. This model is validated with an experimental setup for three different angles of reflective panels. In this setup, not only irradiance is measured, but also electrical (specific) yield Y [kWh/kWp]. The graphical representation of Y and PR in the IEC 61853-matrix reveals clearly how local climate conditions have an influence on the full year result. Thirdly, the resulting yearly specific yield [kWh/kWp/yr] is depending on the way that the PV-panel can deal with the non-uniformities. Finally, by introducing a new parameter called ‘effective façade PV-coverage’ [kWp/m2 façade] the results of specific yield can be modeled, measured and presented in ‘effective façade yield’ [kWh/m2 façade]. This parameter is directly of use for project developers, architects, contractors and other stakeholders in the building industry. The full methodology of this paper could in principle be applied not only to ZigZag-structured façades, but also to other complex PV-building skins with any orientation at any location in the world.
Databáze: OpenAIRE